Senior Database Engineer

MoEngage is looking for a skilled and experienced Senior Database Engineer to join our team. If you're passionate about working with databases at an unparalleled scale, taking ownership of critical infrastructure, and thrive on optimizing performance, this is a unique opportunity.

Requirements

• Hands-on experience on NoSQL/SQL databases, with significant time as a DBA on MongoDB.
• Experienced in hosting, maintaining, and owning large MongoDB clusters on the cloud.
• Experience in scripting language and tools like Ansible and Terraform.
• Great in debugging skills; should be able to look at related metrics, narrow down possible causes of the problem, dive deep/reproduce those issues, and communicate with the application team to bring them to closure.
• Bonus if experienced in managing ScyllaDB clusters or AWS ElastiCache.
• Bonus if experience in one or more of the Time Series Databases — like InfluxDB, Prometheus, Victoria Metrics.

Roles and Responsibilities

Engineering Excellence

• Constantly thrive to explore optimizations in database configurations, infrastructure, cost, new features, and performance improvements.
• Identify parts of the system that do not scale/are non-reliable, provide immediate measures, and drive long-term resolution of such cases.
• Owning the reliability and availability of MongoDB and ScyllaDB infra in the cloud — Servers (EC2 Instances), storage etc.
• Influence developers to adopt the right standards and practices which lead to ease of operations, higher reliability, and cost efficiency.
• Build Self-healing capabilities for the databases.

Operational Excellence

• Enhancing the scalability and performance of existing database architecture — adding and removing shards regularly.
• Performing database maintenance, migration, and upgrading hardware and software.
• Monitor the overall health parameters of the clusters like CPU Utilisation, Memory utilization, Operation Execution times, Replication lag, and load balancing of data and queries, and identify the stress areas.
• Conducting diagnostic tests, evaluating performance metrics, and ensuring high availability or uptime of database services.
• Documenting processes and complying with best practices in database management.